This is a topic that I had several discussions on with colleagues of mine as well as friends. With co-pilot, and directions of autoML, 1-liner libraries to run algorithms, what should be the value of data-scientist? TLDR: Personally, I feel that the value of a data-scientist should not be the ability to "write" just the latest machine learning API, but more towards critical thinking skills, problem solving abilities (generic), problem formulation as well as communication. I will try to touch on them more and relate them to personal experiences.
Jul-24-2021, 16:56:32 GMT